Sanjida Suchi

Radar Assignment: Displacement Analysis

Analysis of Ground Deformation from the 2023 Turkey-Syria Earthquake using SAR Interferometry

Project Overview

This project is a high-resolution ground displacement map of the 2023 Turkey–Syria earthquake using Sentinel-1 SAR imagery. Pre- and post-event images were processed in SNAP, including sub-swath extraction, orbit file correction, interferogram generation, topographic phase removal, multilooking, and Goldstein filtering, with phase unwrapping performed using Snaphu. The terrain-corrected displacement map highlights maximum ground movement (~-44 cm) near the earthquake epicenter, providing a clear visualization of seismic impacts. Through this workflow, I gained hands-on experience in SAR data processing, interferometric analysis, and geospatial visualization, while learning how topography and noise affect measurement accuracy. The study demonstrates the practical relevance of remote sensing for geohazard monitoring, offering insights for disaster assessment, risk mitigation, and rapid response planning in earthquake-affected regions.

Dataset Analysis

Processing Workflow

Key Findings

The displacement map revealed significant ground deformation with maximum downward displacement of approximately -44cm in areas near the earthquake epicenter. Multiple depression zones were identified, showing clear correlation with the seismic event's intensity and distribution.